Snowflake Data Engineer - ETL Tools

<p><p><b>Required Technical Skill Set :</b></p><p><p><b><br/></b></p>- Snowflake<br/><br/></p><p>- DBT<br/><br/></p><p>- PL/SQL<br/><br/></p><p>- Azure/AWS Overall Knowledge<br/><br/></p><p>- Knowledge on DB Modelling<br/><br/></p><p>- Knowledge on Data Warehouse concepts<br/><br/></p><p>- Well versed with Agile Delivery<br/><br/><b>Desired Competencies (Technical/Behavioral Competency) :</b><br/> <br/><b>Good-to-Have :</b></p><p><p><b><br/></b></p>- Azure 900/104/204 Certified<br/><br/></p><p>- of / Expectations from the Role :</b></p><p><br/></p><p>- Assist in the design and implementation of Snowflake-based analytics solution (data lake and data warehouse) on Azure.<br/><br/>- Profound experience in designing and developing data integration solutions using ETL tools such as DBT.<br/><br/>- Hands-on experience in the implementation of cloud data warehouses using Snowflake & Azure Data Factory<br/><br/>- Solid MS SQL Server skills including reporting experience.<br/><br/>- Work closely with product managers and engineers to design, implement, test, and continually improve scalable data solutions and services running on DBT & Snowflake cloud platforms.<br/><br/>- Implement critical and non-critical system data integration and ingestion fixes for the data platform and environment.<br/><br/>- Ensuring root cause resolution to identified problems.<br/><br/>- Monitor and support the Data Solutions jobs and processes to meet the daily SLA.<br/><br/>- Analyze the current analytics environment and make recommendations for appropriate data warehouse modernization and migration to the cloud.<br/><br/>- Develop Snowflake deployment (Using Azure DevOPS or similar CI/CD tool) and usage best practices.<br/><br/>- Follow best practices and standards around data governance, security and privacy.<br/><br/>- Comfortable working in a fast-paced team environment coordinating multiple projects.<br/><br/>- Effective software development life cycle management skills and experience with GitHub<br/><br/>- Leverage tools like Fivetran, DBT, Snowflake, GitHub, to drive ETL, data modeling and analytics.<br/><br/>- Data transformation and Data Analytics Documentation</p><br/></p> (ref:hirist.tech)